Research on the Relationship of Innovation Capability and Operating Performance Based on Moderation of Openness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In current research on open innovation, the impact of innovative openness on the effect of innovation capability on corporate operating performance has been ignored. This paper uses hierarchical linear regression model with financial data of 137 listed enterprises in Chinese Stock Exchanges to study the moderate effect of openness on relationship of innovation capability and operating performance. The result shows that the internal innovation capability and absorption capability can significantly affect the operating performance, but the effect of technology acquisition and diffusion capability is remarkable only under the moderation of openness. Meanwhile, innovative openness negatively impacts the effect of internal innovation capability on the operating performance, and positively impacts the effect of absorptive ability. Finally, this paper provides some suggestions for helping enterprise’s implementation of open innovation strategy based on their own capabilities.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it